Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease.

Wei Zhou,Masahiro Kanai,Kuan-Han H. Wu,Humaira Rasheed,Kristin Tsuo,Jibril B. Hirbo,Ying Wang,Arjun Bhattacharya,Huiling Zhao,Shinichi Namba,Ida Surakka,Brooke N. Wolford,Valeria Lo Faro,Esteban A. Lopera-Maya,Kristi Läll,Marie-Julie Favé,Juulia J. Partanen,Sinéad B. Chapman,Juha Karjalainen,Mitja Kurki, Mutaamba Maasha,Ben M. Brumpton,Sameer Chavan,Tzu-Ting Chen,Michelle Daya,Yi Ding,Yen-Chen A. Feng,Lindsay A. Guare,Christopher R. Gignoux,Sarah E. Graham,Whitney E. Hornsby,Nathan Ingold,Said I. Ismail,Ruth Johnson,Triin Laisk,Kuang Lin,Jun Lv,Iona Y. Millwood,Sonia Moreno-Grau,Kisung Nam,Priit Palta,Anita Pandit,Michael H. Preuss,Chadi Saad,Shefali Setia-Verma,Unnur Thorsteinsdottir,Jasmina Uzunovic,Anurag Verma,Matthew Zawistowski,Xue Zhong,Nahla Afifi,Kawthar M. Al-Dabhani, Asma Al Thani,Yuki Bradford,Archie Campbell,Kristy Crooks,Geertruida H. de Bock,Scott M. Damrauer,Nicholas J. Douville,Sarah Finer,Lars G. Fritsche,Eleni Fthenou,Gilberto Gonzalez-Arroyo,Christopher J. Griffiths,Yu Guo,Karen A. Hunt,Alexander Ioannidis,Nomdo M. Jansonius,Takahiro Konuma,Ming Ta Michael Lee,Arturo Lopez-Pineda, Yuta Matsuda,Riccardo E. Marioni,Babak Moatamed,Marco A. Nava-Aguilar,Kensuke Numakura,Snehal Patil,Nicholas Rafaels,Anne Richmond,Agustin Rojas-Muñoz,Jonathan A. Shortt,Peter Straub,Ran Tao,Brett Vanderwerff,Manvi Vernekar,Yogasudha Veturi,Kathleen C. Barnes,Marike Boezen,Zhengming Chen,Chia-Yen Chen,Judy Cho,George Davey Smith,Hilary K. Finucane,Lude Franke,Eric R. Gamazon,Andrea Ganna,Tom R. Gaunt,Tian Ge,Hailiang Huang,Jennifer Huffman,Nicholas Katsanis,Jukka T. Koskela,Clara Lajonchere,Matthew H. Law, Liming Li,Cecilia M. Lindgren,Ruth J.F. Loos,Stuart MacGregor,Koichi Matsuda,Catherine M. Olsen,David J. Porteous,Jordan A. Shavit,Harold Snieder, Tomohiro Takano,Richard C. Trembath,Judith M. Vonk,David C. Whiteman, Stephen J. Wicks,Cisca Wijmenga,John Wright,Jie Zheng,Xiang Zhou,Philip Awadalla,Michael Boehnke,Carlos D. Bustamante,Nancy J. Cox,Segun Fatumo,Daniel H. Geschwind,Caroline Hayward,Kristian Hveem,Eimear E. Kenny,Seunggeun Lee,Yen-Feng Lin,Hamdi Mbarek,Reedik Mägi,Hilary C. Martin,Sarah E. Medland,Yukinori Okada,Aarno V. Palotie,Bogdan Pasaniuc,Daniel J. Rader,Marylyn D. Ritchie,Serena Sanna,Jordan W. Smoller,Kari Stefansson,David A. van Heel,Robin G. Walters,Sebastian Zöllner,Alicia R. Martin,Cristen J. Willer,Mark J. Daly,Benjamin M. Neale

Cell genomics(2022)

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摘要
Biobanks facilitate genome-wide association studies (GWASs), which have mapped genomic loci across a range of human diseases and traits. However, most biobanks are primarily composed of individuals of European ancestry. We introduce the Global Biobank Meta-analysis Initiative (GBMI)-a collaborative network of 23 biobanks from 4 continents representing more than 2.2 million consented individuals with genetic data linked to electronic health records. GBMI meta-analyzes summary statistics from GWASs generated using harmonized genotypes and phenotypes from member biobanks for 14 exemplar diseases and endpoints. This strategy validates that GWASs conducted in diverse biobanks can be integrated despite heterogeneity in case definitions, recruitment strategies, and baseline characteristics. This collaborative effort improves GWAS power for diseases, benefits understudied diseases, and improves risk prediction while also enabling the nomination of disease genes and drug candidates by incorporating gene and protein expression data and providing insight into the underlying biology of human diseases and traits.
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关键词
GWAS,ancestry diversity,biobank,genetic association studies,meta-analysis,phenotype harmonization
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